Data Product Development: Own the end-to-end delivery of data products: gather requirements, perform comprehensive data analysis to address business problems, propose solution architecture, implement objects in the production environment, coordinate visualisation with the BI team, monitor quality, and maintain best-in-class documentation.
Data Layer & Architecture Development: Build and evolve the data layer for the InPost Pay business unit to support deep product analytics. Ensure the highest quality of object documentation and business definitions across all data assets.
Data Governance: Drive data governance excellence: document reports, objects, and business definitions; identify data owners and subject-matter experts (including across international markets); support data certification initiatives; implement data quality metrics; and continuously improve coverage and accuracy.
Complex Data Analysis: Conduct comprehensive analyses to solve business problems and deliver actionable insights. Apply statistical methods and large-scale data processing techniques. Ensure quality through testing and iterative collaboration with the product team and business stakeholders.
Agile Ways of Working: Take ownership of assigned tasks, provide reliable delivery estimates, and maintain proactive communication with business partners — surfacing progress and blockers clearly to ensure on-time delivery of high-quality solutions.
Innovation & Continuous Learning: Stay current with developments in data processing and data governance; evaluate market tools (including those not yet used at InPost); share knowledge through internal training and experimentation.
Mentoring & Team Development: Provide advisory support in building and managing a team of product analysts; conduct mentoring sessions and actively develop analytical competencies within the team.